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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 1716
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    Explanations

    proper nouns related to locations or events

    oai_token-act-pair · gpt-3.5-turbo

    keywords related to events, innovations, and regulatory frameworks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įå
    -0.79
    ãĤĮ
    -0.62
    ãĥĥãĥī
    -0.55
    ãģĦ
    -0.55
    rather
    -0.55
    ãģį
    -0.54
    ãĤ¤ãĥĪ
    -0.53
    ãģĻ
    -0.53
    ãĤĭ
    -0.52
    ãĥ¼ãĥĨ
    -0.52
    POSITIVE LOGITS
     âĵĺ
    0.52
     consists
    0.45
    urches
    0.44
     hangs
    0.43
     welcomes
    0.42
     MMO
    0.42
     DRAGON
    0.42
     awaits
    0.42
     aims
    0.41
    .--
    0.41
    Activations Density 1.015%

    No Known Activations